Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis
Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
A survey of mechanical fault diagnosis based on audio signal analysis
Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …
Smart multichannel mode extraction for enhanced bearing fault diagnosis
In bearing fault diagnosis, multichannel data can contain more abundant and complete fault
information to alleviate the influence of accidental factors in a single channel. To fully …
information to alleviate the influence of accidental factors in a single channel. To fully …
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Due to the extremely limited prior knowledge, machinery fault diagnosis under varying
working conditions with limited annotation data is a very challenging task in practical …
working conditions with limited annotation data is a very challenging task in practical …
Intelligent fault diagnosis of rolling bearing using variational mode extraction and improved one-dimensional convolutional neural network
M Ye, X Yan, N Chen, M Jia - Applied Acoustics, 2023 - Elsevier
When the rolling bearing fails, the fault features contained in bearing vibration signal are
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …
Trusted multi-source information fusion for fault diagnosis of electromechanical system with modified graph convolution network
K Zhang, H Li, S Cao, S Lv, C Yang, W **ang - Advanced Engineering …, 2023 - Elsevier
Vibration, current, and acoustic signals have different advantages and characteristics in fault
diagnosis. Although a few researches have explored their fusion methods and applied them …
diagnosis. Although a few researches have explored their fusion methods and applied them …
Harmonic reducer fault detection with acoustic emission
The condition of the harmonic reducer is significant for the availability of industrial robots.
This condition is easily affected by the high-torque periodic operating environment in the …
This condition is easily affected by the high-torque periodic operating environment in the …
Attention guided multi-wavelet adversarial network for cross domain fault diagnosis
J Wang, X Zhang, Z Zhang, B Han, X Jiang… - Knowledge-Based …, 2024 - Elsevier
Adversarial transfer learning is an effective method for diagnosing rotating machinery faults.
However, it does not extract features completely and underutilizes unlabeled target data …
However, it does not extract features completely and underutilizes unlabeled target data …
Actively imaginative data augmentation for machinery diagnosis under large-speed-fluctuation conditions
Rotating machinery often runs under large-speed-fluctuation (LSF) conditions, which results
in severe data distribution domain shift for intelligent fault diagnosis methods. However, this …
in severe data distribution domain shift for intelligent fault diagnosis methods. However, this …
[HTML][HTML] Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations
The traditional on-house sensing (OHS) accelerometer for vibration measurements causes
poor signal-to-noise ratio (SNR) and complicated fault modulations, which increases the …
poor signal-to-noise ratio (SNR) and complicated fault modulations, which increases the …